CornOrb: A Multimodal Dataset of Orbscan Corneal Topography and Clinical Annotations for Keratoconus Detection A Public Multimodal Dataset of Orbscan Topography Images and Clinical Features

This dataset contains 1,454 eyes from 744 patients (889 normal, 565 keratoconus) collected with the Orbscan 3 device in Algerian ophthalmology centers. For each eye, four corneal maps are provided (Axial, Anterior, Posterior, Pachymetry), alongside structured clinical annotations (age, sex, astigmatism, K max, pachymetry, asphericity, diagnostic label). All data are anonymized and pre-processed into standardized PNG images and CSV files, directly usable for deep learning research. This resource provides one of the first multimodal Orbscan-based keratoconus datasets from North Africa, supporting AI development in ophthalmology and reproducibility in medical imaging.